Is it time to revisit the scoring of slow wave (N3) sleep?

The use of a fixed electroencephalogram (EEG) amplitude threshold of 75 µV for labeling slow waves is a subject of ongoing discussion given EEG amplitude is known to vary with age and sex. This paper investigates the impact of this amplitude threshold on age- and sex-related trends in visually annotated slow wave sleep (SWS). Automated methods for labeling SWS using data-driven thresholds and amplitude- or frequency-based inputs are developed. Age- and sex-related trends in SWS derived from visual annotation and automated labeling are then compared across a cohort of 2913 participants from the Sleep Heart Health Study. In the selected cohort, males exhibit an age-related decrease in visually annotated SWS, which is preserved when using automated labeling. In contrast, females exhibit a mild age-related increase in visually annotated and amplitude-labeled SWS, but an age-related decrease in frequency-labeled SWS. Furthermore, using frequency-labeled SWS results in a reduction in SWS in females to a level comparable to that of males. Overall, the consistency of age-related trends in SWS in males between visual annotation and automated labeling, as well as the lack of consistency in these trends in females, is striking. Given that the 75 µV amplitude threshold was established using data acquired primarily from young males, these results suggest that observed sex-based differences in visually annotated SWS may be artifactual rather than physiological, and a result of the 75 µV amplitude criterion. This sex-related disparity highlights the need for the American Association of Sleep Medicine guidelines for scoring SWS to be reviewed and updated to provide equivalent performance for males and females.

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Publication Details

Journal
SLEEP
Published
2025-03-13
DOI
https://doi.org/10.1093/sleep/zsaf063
Citations
6
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
8.59
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article

Is it time to revisit the scoring of slow wave (N3) sleep?

Rachel Sharman, Shaun Davidson, Lionel Tarassenko, Simon D. Kyle
6 citations
SLEEP
EEG and Brain-Computer Interfaces
8.59
article

Is it time to revisit the scoring of slow wave (N3) sleep?

Rachel Sharman, Shaun Davidson, Lionel Tarassenko, Simon D. Kyle
article en
6 citations

Abstract

The use of a fixed electroencephalogram (EEG) amplitude threshold of 75 µV for labeling slow waves is a subject of ongoing discussion given EEG amplitude is known to vary with age and sex. This paper investigates the impact of this amplitude threshold on age- and sex-related trends in visually annotated slow wave sleep (SWS). Automated methods for labeling SWS using data-driven thresholds and amplitude- or frequency-based inputs are developed. Age- and sex-related trends in SWS derived from visual annotation and automated labeling are then compared across a cohort of 2913 participants from the Sleep Heart Health Study. In the selected cohort, males exhibit an age-related decrease in visually annotated SWS, which is preserved when using automated labeling. In contrast, females exhibit a mild age-related increase in visually annotated and amplitude-labeled SWS, but an age-related decrease in frequency-labeled SWS. Furthermore, using frequency-labeled SWS results in a reduction in SWS in females to a level comparable to that of males. Overall, the consistency of age-related trends in SWS in males between visual annotation and automated labeling, as well as the lack of consistency in these trends in females, is striking. Given that the 75 µV amplitude threshold was established using data acquired primarily from young males, these results suggest that observed sex-based differences in visually annotated SWS may be artifactual rather than physiological, and a result of the 75 µV amplitude criterion. This sex-related disparity highlights the need for the American Association of Sleep Medicine guidelines for scoring SWS to be reviewed and updated to provide equivalent performance for males and females.

SLEEPVol. 48(10)
Neurosciences Institute (US), University of Oxford (GB), Neuroscience Institute (IT), Science Oxford (GB), Institute of Biomedical Science (GB)
Openalex Percentile: Top 2%
EEG and Brain-Computer Interfaces
8.59
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